Search (26 results, page 2 of 2)

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Abstract

The BOOK HOUSE system is an example of a system for fiction retrieval, where the structure of the work domain is represented by a metaphor familiar to users, which provides the proper associations for the information retrieval task. It presents for users a coherent display of a complex, rich information context within which they can navigate freely without being constrained by the system. It is intended to support retrieval and decision making of fiction retrieval in both familiar, ambigous and problematic situations for casual, novice end users, to whom it provides the capability of visual exploration of icons and direct perception and manipulation of the iconic objects of the artificial, but familiar, environment of the BOOK HOUSE

Series

Advances in knowledge organization; vol.2

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Abstract

Decribes the BookHouse, a system for the retrieval and indexing of fiction and non fiction literature developed for public and school libraries though cooperation between library and information science professionals. Discusses 3 aspects of the system: domain characteristic; task analysis; and user characteristics. Outlines the framework underlying the collection of field data with special emphasis on the work involved in transforming the empirical field studies of user behaviour in the library into computer system specifications and subsequent design of a retrieval system providing subject access to fiction. Describes a few of the many indexing policies, rules and practices which evolved for concept identification and book descriptions as well as the functionality and associated displays of the system for supporting the retrieval and indexing of fiction

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Abstract

Cognitive systems engineering is the discipline underlying the design of computer-based information systems to support human work and endeavor. The book describes a cross-disciplinary framework for the integration of model concenpts from many different disciplines, such as engineering, psychology, cognitive science, management science, information and computer science. It is based on actual work performance in several domains

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Abstract

While most research in the area of human-information behavior has focused an a single dimension-either the psychological or the social-this case study demonstrated the importance of a multidimensional approach. The Cognitive Work Analysis framework guided this field study of one event of collaborative information retrieval (CIR) carried out by design engineers at Microsoft, including observations and interviews. Various dimensions explained the motives for this CIR event and the challenges the participants encountered: the cognitive dimension, the specific task and decision, the organization of the teamwork, and the organizational culture. Even though it is difficult at times to separate one dimension from another, and all are interdependent, the analysis uncovered several reasons for design engineers to engage in CIR, such as when they are new to the organization or the team, when the information lends itself to various interpretations, or when most of the needed information is not documented. Similar multidimensional studies will enhance our understanding of human-information behavior.

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Abstract

Work centered design of classification schemes is an emerging area of research which poses particular challenges to domain analysis and scheme construction. A key challenge in work centered design of classification schemes is the evolving semantics of work. This article introduces a work centered approach to the design of classification schemes, based an the framework of cognitive work analysis. We launch collaborative task situations as a new unit of analysis for capturing evolving semantic structures in work domains. An example case from a cognitive work analysis of three national film research archives illustrates the application of the framework for identifying actors' needs for a classification scheme to support collaborative knowledge integration. It is concluded that a main contribution of the new approach is support for empirical analysis and overall design of classification schemes that can serve as material interfaces for actors' negotiations and integration of knowledge perspectives during collaborative work.

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Abstract

Issues concerning the formulation and application of a model of how humans value information are examined. Formulation of a value function is based on research from modelling, value assessment, human information seeking behavior, and human decision making. The proposed function is incorporated into a computer-based fiction retrieval system and evaluated using data from nine searches. Evaluation is based on the ability of an individual's value function to discriminate among novels selected, rejected, and not considered. The results are discussed in terms of both formulation and utilization of a value function as well as the implications for extending the proposed formulation to other information seeking environments